本文整理汇总了Python中pyspark.ml.classification.LogisticRegression.load方法的典型用法代码示例。如果您正苦于以下问题：Python LogisticRegression.load方法的具体用法？Python LogisticRegression.load怎么用？Python LogisticRegression.load使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pyspark.ml.classification.LogisticRegression的用法示例。
在下文中一共展示了LogisticRegression.load方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_logistic_regression
# 需要导入模块: from pyspark.ml.classification import LogisticRegression [as 别名]
# 或者: from pyspark.ml.classification.LogisticRegression import load [as 别名]
def test_logistic_regression(self):
lr = LogisticRegression(maxIter=1)
path = tempfile.mkdtemp()
lr_path = path + "/logreg"
lr.save(lr_path)
lr2 = LogisticRegression.load(lr_path)
self.assertEqual(lr2.uid, lr2.maxIter.parent,
"Loaded LogisticRegression instance uid (%s) "
"did not match Param's uid (%s)"
% (lr2.uid, lr2.maxIter.parent))
self.assertEqual(lr._defaultParamMap[lr.maxIter], lr2._defaultParamMap[lr2.maxIter],
"Loaded LogisticRegression instance default params did not match " +
"original defaults")
try:
rmtree(path)
except OSError:
pass